ArticleFrontiers in physiology2020
Temporal Variability in Electrocardiographic Indices in Subjects With Brugada Patterns.
Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Prediction of Cardiac Arrhythmias in Cancer Patients Treated with Immune Checkpoint Inhibitors Using Electrocardiogram.Diagnostics (Basel, Switzerland) · 2025Article
- Echo state networks for the recognition of type 1 Brugada syndrome from conventional 12-LEAD ECG.Heliyon · 2024Article
- Risk stratification of sudden cardiac death in asymptomatic female Brugada syndrome patients: A literature review.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2023Review
- A Territory-Wide Study of Arrhythmogenic Right Ventricular Cardiomyopathy Patients from Hong Kong.Reviews in cardiovascular medicine · 2022Article
- Paediatric/young versus adult patients with long QT syndrome.Open heart · 2021Article
- Observational
- Incorporating Latent Variables Using Nonnegative Matrix Factorization Improves Risk Stratification in Brugada Syndrome.Journal of the American Heart Association · 2020Article
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Authors and funding
12 authors.
Funding
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Abstract
introductionPatients with Brugada electrocardiographic (ECG) patterns have differing levels of arrhythmic risk. We hypothesized that temporal variations in certain ECG markers may provide additional value for risk stratification. The present study evaluated the relationship between temporal variability of ECG markers and arrhythmic outcomes in patients with a Brugada pattern ECG. Comparisons were made between low-risk asymptomatic subjects versus high-risk symptomatic patients with a history of syncope, ventricular tachycardia (VT) or ventricular fibrillation (VF).
methodsA total of 81 patients presenting with Brugada patterns were recruited. Serial ECGs and electronic health records from January 2004 to April 2019 were analyzed. Temporal variability of QRS interval, J point-T
resultsPatients presenting with type 1 Brugada ECG pattern initially had significantly higher variability in JTp from lead V2 (SD: 33.5 ± 13.8 vs. 25.2 ± 11.5 ms,
conclusionTemporal variability in ECG indices may provide additional value for risk stratification in patients with Brugada pattern.
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